The 24 Jyväskylä Summer School

Transcription

Report on
The 24th Jyväskylä Summer School
University of Jyväskylä
6th – 22nd August 2014
CONTENTS
Acknowledgements ...................................................................................................................... 2
Executive summary...................................................................................................................... 3
1. Application and advertisement ........................................................................................ 4
2. Students ............................................................................................................................ 4
3. Courses and lectures ........................................................................................................ 5
4. Accommodation ............................................................................................................... 9
5. Social program ................................................................................................................. 9
6. The public lecture: “Cyber-security threats in the digital world” ................................. 10
7. Get-together events ........................................................................................................ 10
8. Tutoring ......................................................................................................................... 10
9. Funding .......................................................................................................................... 11
10. Other feedback ............................................................................................................... 11
11. Conclusion ..................................................................................................................... 14
Acknowledgements
We wish to thank all for participating and teaching in the 24th Jyväskylä Summer School. We hope that
the time in Jyväskylä was enjoyable, you had an excellent experience, and hopefully you are able to
attend again for summer school. We would also like to thank the Faculty of Mathematics and Science
and the Faculty of Information Technology, and their Departments that took part in the Summer School.
We wish to give our acknowledgements for the all external financiers of the Summer School:
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The Finnish Academy of Science and Letters
The Finnish Cultural Foundation
The Finnish Doctoral Programme in Computational Sciences (FICS)
The Finnish Doctoral Programme in Stochastic and Statistics (FDPSS)
The Finnish Graduate School in Environmental Science and Technology (EnSTe)
The Finnish National Graduate School in Mathematics and its Applications (GSMAA)
The Doctoral Programme in PArticle- and NUclear physics (PANU)
The International Doctoral Programme in Biomedical Engineering and Medical Physics
(iBioMEP)
The Jyväskylä Graduate School in Computing and Mathematical Sciences (COMAS)
The National Doctoral Programme in Informational and Structural Biology (ISB)
The National Doctoral Programme in Nanoscience (NGS-NANO)
We would also like to express our appreciation for the help of several people in the following
organisations:
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The City of Jyväskylä
The Student Union of the University of Jyväskylä
Hotel Alba
Summer Hotel Rentukka
The Organizing Committee of the 24th Jyväskylä Summer School
Executive summary
The 24th Jyväskylä Summer School (JSS24) was organized by the Faculty of Mathematics and
Science and the Faculty of Information Technology at the University of Jyväskylä, Finland.
The Summer School took place from the 6th till 22nd of August 2014.
The Organizing Committee of the JSS24 was:
 Elina Sievänen (Chairman), Chemistry
 Olli Tarvainen (Vice-chairman), Physics
 Prasad Kaparaju, Renewable Energy
 Anne Lyytinen, Biological and Environmental Science
 Sanna Mönkölä, Mathematical Information Technology
 Pekka Pankka, Mathematics and Statistics
 Nan Zhang, Computer Science and Information Systems
 Elina Leskinen, Coordinator of the Summer School
 Susanna Häggman, Secretary of the Summer School (26.5.–31.8.2014)
The JSS24 offered 27 courses for advanced master’s students, graduate students, and post-docs
in the various fields of science and information technology. In the Summer School courses
there were 41 lecturers altogether, of which 34 were from outside of the University of
Jyväskylä.
The JSS24 received 345 applications from students outside of the University of Jyväskylä, and
214 from students of University of Jyväskylä. The total number of applicants reached 559 with
379 students attending the School.
Accommodation for students was arranged in cooperation with the Kortepohja Student Village,
Summer Hotel Rentukka, and Hotel Alba. All lecturers had a room in Hotel Alba with the
exception of one lecturer, who accommodated in apartment owned by the University.
Course tutors were assigned to both academic and social tasks by the course coordinators and
the Summer School office. The tutors provided valuable assistance in helping to organize
lectures as well as the social program especially concerning the course events.
Finnish nature and culture were well presented in the social program of the Summer School.
The Summer School provided students 15 social events in the evenings and during the
weekends.
The feedback from the participants was collected via an electronic feedback form set in the
webpage of the Jyväskylä Summer School, which provided valuable information on the
success of academic and social programs of the Summer School.
The received feedback indicates that the participants found the School beneficial both in
professional terms as well as in creating new contacts and social interaction with colleagues. In
summary, the JSS24 was successfully completed.
1.
ADVERTISEMENT AND APPLICATION
The call for Summer School was announced via the Summer School website, a network of
partners in universities, and scientific institutions around the world, as well as the students of
the University of Jyväskylä. Students of the University of Jyväskylä applied for each course via
the university’s course management system (Korppi). External students applied using an
electronic application form that was available on the Summer School website. The application
period was 1st of February to 30th of April 2014. The course coordinators of the Summer
School selected students for the courses by 16th of May 2014.
2.
STUDENTS
The Summer School received altogether 559 applications of which 345 from students outside
of the University of Jyväskylä. Finally, a total number of 379 students attended the JSS24.
Figure 1 shows a summary of the students of the Summer School over the years.
450
400
105
350
300
141
250
200
134
33
50
0
52
36
100
59
91
72
50 30
165
19
97
19
20
44 24
3
13
128 139
138
84
155
150
126
162
124
133
69
98
120
93
89 94 101
University of Jyväskylä
57 157
51
51
129
80
35
41 26
39
113
129
127
97
136
116
32
131
147
133
69
62
61
41
40
61
249
155 167
Other institutions in Finland
167 171 157
176
208 188
126
Outside Finland
Figure 1. The numbers of Jyväskylä Summer School participants over the years.
Summer school students outside of the University of Jyväskylä represented 44 different
nationalities, and came from 30 different countries. The majority of the students came from
Finland (33 %), followed by Germany (8 %), Russia (7 %), Japan (6 %), United States (6 %),
and Italy (5 %).
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Finnish
Russian
Chinese
German
Japanese
Italian
Czech
Iranian
Pakistani
Indian
Polish
British
Croatian
Spanish
Austria
French
Israeli
Swedish
Ukrainian
American
Brazil
Dutch
Portuguese
Swiss
40
35
30
25
20
15
10
5
0
Figure 2. The numbers of the most common nationalities outside of the University of Jyväskylä.
3.
COURSES AND LECTURES
A total of 27 courses were organized in the JSS24. The Jyväskylä Summer School has also
launched a new co-operation with the University of Osaka (Japan), and the University of Osaka
organized two of the physics courses in the Summer School. More detailed descriptions of the
courses can be found in Appendix I.
The length of the courses varied from three days to ten days. In addition to lectures, most
courses included exercises, demonstrations, laboratory works, or group work. The teaching in
the courses was provided by 34 invited external lecturers, and 7 lecturers from University of
Jyväskylä. The invited lecturers came from twelve different countries, including Canada, Japan,
United States, and several European countries. Each course also had a course coordinator from
the University of Jyväskylä (Table 1).
Table 1. The course schedule of the JSS24, lecturers, and course coordinators.
Course
BIO1: Environmental Fate and Possible
Effects of Nanoparticles: Background and
Laboratory Exercises
BIO2: Living in a Sea of Danger: The
Immune System in a Hostile Environment
CH1: Structural Determination by NMR
Spectroscopy
CH2: NMR Spectroscopy of
Supramolecular Systems
CH3: Electrochemistry in Chemical
Reactivity: Basic Principles and
Applications
COM1: Short Course on Multigrid Methods
and Applications
COM2: A Short Course on Evolutionary
Equations
Time
18.–22.8.2014
Lecturer(s)
Dr. Elijah J. Petersen, and
M.Sc. Austin Wray
Course coordinator(s)
Prof. Jussi Kukkonen
18.–22.8.2014
Dr. Stanley J. Naides
Dr. Leona Gilbert
6.–11.8.2014
Prof. Ian Fleming
Dr. Elina Sievänen
12.–15.8.2014
Prof. Juan F. Miravet
Dr. Elina Sievänen
18.–22.8.2014
Prof. René Boeré
11.–15.8.2014
Prof. Ludmil T. Zikatanov
Prof. Matti Haukka, Dr.
Heikki Tuononen, and
Dr. Jari Konu
Dr. Sanna Mönkölä
11.–15.8.2014
Senior professor Rainer Picard
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COM3: Numerical Methods for Option
Pricing
18.–22.8.2014
Senior lecturer Lina von
Sydow, and Prof. Jari Toivanen
COM4: Optimal Control of PDEs
18.–22.8.2014
COM5: Variational Methods and Optimal
Control
COM6: Advances on Evolutionary
Multiobjective Optimization
18.–22.8.2014
Prof. Irwin Yousept, and M.Sc. Dr. Sanna Mönkölä
Vera Bommer
Prof. Sergey Repin
Dr. Olli Mali
6.–8.8.2014
Prof. Kalyanmoy Deb
Dr. Karthik Sindhya
COM7: Beyond OFDM Radio Interfaces
Facilitating Spectrum Coexistence and
Secondary Access
IS1: Social Network Behavior Analysis
MA1: Introduction to l^p-cohomology
MA2: Coarse Geometry of the Laplacian
and Other Analytic Quantities
MA3: Five Lectures on Brownian Motion
and Diffusions
6.–8.8.2014
Prof. C. Faouzi Bader, and Dr.
Dmitry Petrov
Prof. Tapani Ristaniemi,
and Dr. Dmitry Petrov
11.–15.8.2014
11.–15.8.2014
11.–15.8.2014
Dr. Alexander Nikolaev
Prof. Mario Bonk
Prof. Juan Souto
Dr. Alexander Semenov
Dr. Pekka Pankka
Dr. Pekka Pankka
18.–22.8.2014
Prof. Pierre Vallois, and Prof.
Paavo Salminen
Dr. Anni Laitinen
MA4: Statistical and Computational Inverse 11.–13.8.2014
Problems with Applications
NANO1: Theories of Everything:
Thermodynamics, Statistical Physics,
Quantum Mechanics
NANO2: Nano Machinery & Imaging
Towards Personalized Medicine
11.–22.8.2014
NANO3: Nanobiotechnology
PH1: Basics of Operating an On-Line
Recoil Separator
PH2: Mean-Field Description of Atomic
Nuclei
PH3: Radiation Effects in Nano- and
Microelectronics
PH4: Introduction to Relativistic Heavy Ion
Collisions: The Beauty of the Partonic
Many-Body Problem and Exploring the
Medium with Hard Probes
PH5: How Can We See Nuclei? - An
Overview of Nuclear Structure and the Role
of Isospin Quantum Number PH6: Excitons and Polaritons in
Semiconductors: from One-Body to ManyBody Problems
STAT1: Inferring Causality from Passive
Observations
18.–22.8.2014
18.–22.8.2014
11.–15.8.2014
Docent Aku Seppänen
Dr. Riikka Ahola
(University of Oulu),
Prof. Pasi Karjalainen
(University of Eastern
Finland), and Prof.
Mikko Salo (University
of Jyväskylä)
Assoc. prof. Gert van der Zwan Prof. Janne Ihalainen,
and Dr. Gerrit Groenhof
Dr. Varpu Marjomäki
11.–15.8.2014
FiDiPro Professor Holland R.
Cheng, Dr. Varpu Marjomäki,
Dr. Lassi Paavolainen, M.Sc.
Mohammad A.B. Kalkhoran,
Prof. Ulla Ruotsalainen, Dr.
Silke Krol, and Dr. Johanna
Laakkonen
Dr. Wolfgang Fritzsche
Prof. Matti Leino, Dr. Jan
Sarén, and Dr. Juha Uusitalo
Dr. Karim Bennaceur
6.–8.8.2014
Dr. Frederic Wrobel
Dr. Arto Javanainen
11.–22.8.2014
Prof. Tom Hemmick, and Dr.
Andreas Morsch
Dr. Jan Rak
11.–15.8.2014
Dr. Yoshitaka Fujita
Prof. Ari Jokinen
6.–8.8.2014
Prof. Tetsuo Ogawa
Dr. Pekka Koskinen
18.–22.8.2014
Dr. Dominik Janzing
Prof. Juha Karvanen
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Dr. Jussi Toppari
Dr. Jan Sarén
Dr. Karim Bennaceur
The course feedback was mainly very positive. When students were asked to evaluate the level
of the courses in general, the average level of the courses was evaluated as “suitable” or
“demanding” (Figure 3). The course contents also fulfilled their expectations: a majority of the
courses corresponded “very well”. (Figure 3–5)
16
14
12
Very Demanding
Demanding
Suitable
Very Simple
Simple
10
8
6
4
2
BIO1
BIO2
CH1
CH2
CH3
NANO1
NANO2
NANO3
COM1
COM2
COM3
COM4
COM5
COM6
COM7
IS1
MA1
MA2
MA3
MA4
PH1
PH2
PH3
PH4
PH5
PH6
STAT1
0
Figure 3. General level with the Summer School courses.
16
14
12
10
Better than I expected
Very Well
Enough
Poorly
Nothing like I expected
8
6
4
2
BIO1
BIO2
CH1
CH2
CH3
NANO1
NANO2
NANO3
COM1
COM2
COM3
COM4
COM5
COM6
COM7
IS1
MA1
MA2
MA3
MA4
PH1
PH2
PH3
PH4
PH5
PH6
STAT1
0
Figure 4. Correspondence of the contents of courses with expectations according to students’
opinions.
7
16
14
12
Other
10
Simulations
8
Discussions
Laboratory works and fieldwork
6
Excercises and demonstrations
4
Materials
2
Lectures and supervision
BIO1
BIO2
CH1
CH2
CH3
NANO1
NANO2
NANO3
COM1
COM2
COM3
COM4
COM5
COM6
COM7
IS1
MA1
MA2
MA3
MA4
PH1
PH2
PH3
PH4
PH5
PH6
STAT1
0
Figure 5. The best thing about the summer school courses according to students’ opinions.
Some comments about JSS24 courses:
 BIO2: The course was very much in depth. The organizers and teachers made it quite
easy to understand, especially for people who were beginners to the field. The exercises
were also informative. Overall, I was quite happy with the course.
 CH1: It was pleasure listening to professor Fleming`s lectures. I really like his
communication with students.
 COM6: Very illustrative explanation of course content which allowed to grasp the main
ideas without dwelling on mathematical technicalities. At times it was, however,
difficult to follow the lecturer as he switched from one topic to another within an
instant.
 COM7: Very good lecturers that were easy to follow despite of advanced topic.
 PH1: The teachers presented a quite challenging topic in such a way that many
students can easily follow.
 MA1: A wonderful course given by a really excellent speaker.
 NANO2: A challenging course but really interesting. The arguments were perfectly apt
to the theme, sometimes treated even in-depth. The center of Nanoscience is very nice
and it was a real shame we could not do practical work in laboratories. The supervisor
and the lecturers were very helpful and friendly. The topics that we dealt with will be
very useful in my research activity.
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4.
ACCOMMODATION
Accommodation for students was arranged in the Kortepohja Student Village, Summer Hostel
Rentukka, and Hotel Alba. All lecturers had a room in Hotel Alba with the exception of one
lecturer, who accommodated in apartment owned by the University.
5.
SOCIAL PROGRAM
Finnish nature and culture was presented in the social program of the Summer School. This
year the Summer School provided students 15 social events in the evenings and during the
weekend:
 Sauna Evening in Lehtisaari on Thursday 7.8.
 Jyväskylä Harbour on Friday 8.8.
 Toivola Old Courtyard on Saturday 9.8.
 Museum of Central Finland on Sunday 10.8.
 The 24th Jyväskylä Summer School Opening Ceremony hosted by the City of Jyväskylä
on Tuesday 12.8.
 Canoeing on Wednesday 13.8.
 Public Lecture: “Cyber-Security Threats in the Digital World” on Thursday 14.8.
 Campus Orienteering and Picnic on Friday 15.8.
 Nature Trail in Isojärvi National Park on Saturday 16.8.
 Bike Excursion on Sunday 17.8.
 Karelian Pasty Course on Tuesday 19.8.
 Finnish Language and Culture Lesson on Wednesday 20.8.
 Team Rowing Trip on Wednesday 20.8.
 Farewell Party at Survo Manor on Thursday 21.8.
 Sauna Evening in Kiviniemi on Friday 22.8.
The social program of the School received very positive feedback from the students (figure 5).
40
35
30
25
20
15
10
5
0
Poorly organized
It was ok
Loved it!
Figure 5. General satisfaction with the social program events.
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Some comments of the social program:
 Didn't attend of these but I'm very impressed how vast social program there was. Looks
great and I bet the visitors from abroad must have enjoyed them a lot!
 Great canoeing trip and nice community! Good opportunities to familiarize with city!
 It was useful as I gained contacts from future career perspective.
 Social Program is a great advantage of JSS. After lectures there is a possibility to relax,
meet new people, learn about Finland and try different activities.
6.
THE PUBLIC LECTURE: “CYBER-SECURITY THREATS IN THE DIGITAL WORLD”
The program of the Summer School also included the annual public lecture. The topic of the
lecture was “Cyber-Security Threats in the Digital World”. The lecture was open to all, and it
was lectured in English by a cyber-security expert, Dr. Martti Lehto from the University of
Jyväskylä. The lecture dealed with cyber-security threats in the modern digitalized operating
environment. Within the lecture cyber security phenomena were defined and the topics of
cyber threats, cyber operations, and cyber weapons as well as building the cyber security in a
society discussed. The lecture gathered around 100 listeners.
7.
GET-TOGETHER EVENTS
Almost all courses arranged separate get-together evenings for their participants. There the
students were able to get to know other course participants through a relaxed sauna evening or
by playing games together. The arrangements of the get-together evening were the task of the
course tutors. The anonymous feedback from the respondents was positive. About 52 percent
of the participants think that events was very useful, and 46 % think that there were some
benefits.
Comments of the get-together evenings:
 More get-together, informal events (parties, meetings, discussions), not lectures and
formal gatherings. Events would be nice especially at the beginning of every week, as a
lot of new people are coming.
 You can make contacts, and I would say that mixing different course groups in gettogether is useful.
 It was really nice to see the people in a more informal atmosphere.
 It’s a good experience to meet student from different countries.
8.
TUTORING
A total of 25 volunteer tutors assisted in 26 of the Summer School courses. The main task of
the tutors was to act as a link between the students and the course coordinator, lecturers, and
the Summer School office. Another important task was to organize the social get-together
evening of the course, as well as to provide assistance for the students of the course in all
practical matters. About 55 percent of the participants think that tutoring was very useful or
there were some benefits.
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9.
FUNDING
The total expenditure of the JSS24 was 143 435 € (Table 2). Teaching given by teaching staff
of University of Jyväskylä was considered as part of their teaching duty and was thus not
included in the budget.
Table 2: Summary of JSS24 budget.
EXPENSES (€)
COSTS (€)
39 276
31 768
15 423
640
87 108
Lecture fees
Travels and daily allowances of the lecturers
Accommodation of the lecturers
Tutor fees
Total
COSTS (€)
49 527
622
5 369
530
279
56 327
GENERAL COSTS
Administrative costs
Advertising costs
Social programme
Office costs
Other
Total
TOTAL
143 435
FUNDING (€)
The Faculty of Mathematics and Science of the University of Jyväskylä
The Faculty of Information Technology of the University of Jyväskylä
The National Doctoral Programme in Nanoscience (NGS-NANO)
The Doctoral programme in PArticle- and NUclear physics (PANU) in cooperation the Department
of Physics of the University of Jyväskylä
The Department of Chemistry of the University of Jyväskylä
The Finnish Cultural Foundation
The Finnish Doctoral Programme in Stochastic and Statistics (FDPSS)
The Finnish Graduate School in Environmental Science and Technology (EnSTe)
The Finnish Academy of Science and Letters
The Department of Mathematics and Statistics of the University of Jyväskylä
The Department of Biological and Environmental Science of the University of Jyväskylä
The Graduate School in Mathematics and its Applications
The Finnish Doctoral Programme in Computational Sciences (FICS)
(€)
44 162
41 044
14 611
The International Doctoral Programme in Biomedical Engineering and Medical Physics (iBioMEP)
The National Doctoral Programme in Informational and Structural Biology (ISB)
TOTAL
1 752
943
143 435
11
12 534
4 922
4 499
3 250
3 061
3 031
2 859
2 660
2 285
1 819
10.
OTHER FEEDBACK
In order to evaluate the 24th Summer School and to develop the future Summer Schools, the
students were asked to fill in an electronic feedback form. Altogether 104 participants filled in
the form. The survey produced valuable information for the improvement of future Summer
Schools. For more details and student comments, see Appendix II.
General satisfaction: The anonymous feedback from the respondents was generally very
positive. Almost all the participants will or may attend the Summer School again, and about 80
percent of the participants will certainly recommend the School to other students. Only one
respondent would not recommend the School.
Future studies: 27 % of the participant regarded the JSS courses to be of major importance to
their future studies or research. Only two percent of students informed that they didn’t benefit
from the courses.
Received information: Respondents received information on the Summer School from their
supervisor or other staff member of their department (38 %) or the internet (38 %). 13 % had
received information on the Summer School from their friends. Also students got information
bulletin board, and email lists from graduate schools.
Financial support: Students got financial support from very different sources (home institute,
different kinds of scholarships, their own funding, etc.).
The practical arrangements: The practical arrangements of the school were generally regarded
as successful (Figure 6). A few comments about practical information:
 I changed my accommodation to Hotel Alba, which also was affordable, had a much
better location, and excellent service. I would definitely recommend Alba to anyone
going to JSS.
 Due to the information I received beforehand, I had no trouble going to Jyväskylä,
locating my room on the campus and finding my way around.
 This was the best organized summer school I have ever seen!
12
100
90
80
70
60
50
40
30
20
10
0
Poorly organized
Ok
Well organized
Figure 6. General satisfaction of respondents with the practical arrangements.
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11.
CONCLUSION
The Jyväskylä Summer School is one of the largest, and oldest multidisciplinary Summer
Schools in Finland, and it has retained its place as an important international meeting place for
young experts of natural sciences and information technology. Over twenty-four years the
Summer School has offered 461 courses which have been attended by 6984 students and 880
lecturers.
The Jyväskylä Summer School was organized for the 24th time by the Faculty of Mathematics
and Science and the Faculty of Information Technology at the University of Jyväskylä, Finland.
The most important aims of the Summer School are to develop post-graduates scientific
readiness and to offer students the possibility to study in a modern, scientific environment and
to create connections to the international science community. The aim is to increase students’
motivation and determination in carrying out studies and research on both theoretical and
practical level. In addition, the Summer School strives to encourage students to absorb new and
innovative ways of thinking. The Summer School has been very successful in reaching these
goals.
Jyväskylä Summer School will continue to invest in the development of the Summer School. In
order to improve the coming Summer Schools, a wide-scale feedback was gathered by an
electronic survey system. The feedback received from lecturers and students was mainly very
positive. Especially the high quality and interdisciplinary teaching as well as the large number
of courses and social events were appreciated. Additionally, the possibilities for academic,
professional, and social networking in a multicultural environment were considered as an
important part of the Summer School.
Over the years, the Jyväskylä Summer School has established an important role as a part of the
international profile of the University of Jyväskylä. It provides valuable opportunities for
networking for students and staff, and opportunities for international cooperation to the
departments involved. The Summer School has a strong tradition of providing high level
courses with renowned scientists as lecturers. Providing high-quality courses with worldrenowned researchers as lecturers to gifted students from Finland and abroad will continue to
be the main goal of the Jyväskylä Summer School.
Jyväskylä, 19.11.2014
14
Annex I: Courses of the Summer School
Courses of the 24th Jyväskylä Summer School
BIO1: Environmental Fate and Possible Effects of Nanoparticles: Background and
Laboratory Exercises
JY code: YMPS301
Time: 18.–22.8.2014
Place: YAB312
Coordinator: Prof. Jussi Kukkonen
Lecturers: M.Sc. Austin Wray (Clemson University Institute of Environmental Toxicology, United States), and
Dr. Elijah J. Petersen (National Institute of Standards and Technology (NIST), United States)
Lectures: Lectures, and laboratory works
Credits: 2 ECTS
Maximum of students: 20
Passing: Participation to the sessions. Active participation to the lectures, and laboratory exercises is required to
pass the course.
Grading: Pass/Fail
Prerequisites: The course is targeted at the advanced undergraduate, and especially at graduate students in
environmental science or environmental chemistry.
Abstract: The course gives a state-of-art overview of environmental fate and effects of nanoparticles, and
provides a laboratory component to help teach studies how to conduct ecological effect assays with
nanoparticles. Engineered nanoparticles and nanomaterials offer many potential benefits to society and the
nanotechnology industry is still in an exponential growth phase, but with increasing requirements for
information on the safety and potential environmental effects of their products. The course is targeted at the
advanced undergraduate and especially at graduate students in environmental science or environmental
chemistry. A comprehensive reading list and extensive references are provided to facilitate the practical review
of the topics covered. Lectures are given by the experts on the field and will be complemented with laboratory
exercises to provide practical experience.
The course in organized in collaboration with the Finnish Graduate School in Environmental Science and
Technology (EnSTe), and the Department of Biological and Environmental Science of the University of
Jyväskylä.
BIO2: Living in a Sea of Danger: The Immune System in a Hostile Environment
JY code: SMBS301
Place: YN121
Time: 18.–22.8.2014
Coordinator: Dr. Leona Gilbert
Lecturer: Dr. Stanley J. Naides (MD, Medical Director Immunology Department, United States)
Lectures: 20 h lectures (2 hours lectures in the morning with 2 h problem based learning in the afternoon)
Credits: 3 ECTS
Passing: Obligatory attendance at lectures. There will be an exam at the end of the course. There will be a slot
for the students to present their interests by having 5-10 min oral presentations.
Grading: The grading (0-5)
Prerequisites: Understanding in basic human physiology, basic chemistry (biochemistry), and biology.
Abstract: The world is a dangerous place! The human body endures an environment populated by viruses,
bacteria, fungi, parasites, toxins, and rogue cells. Defense against these insults is the job of the immune system,
a finely tuned symphony of specialized proteins and cells that balance a tightrope task of containing or killing
the insult without killing the host. The course will first examine the role of the innate immune system, always
standing sentinel ready to respond to an array of predetermined dangers, then shift to examining the adaptive
immune system with its ability to learn and adapt to novel insults. We will examine the processes by which the
immune system detects "danger" and distinguishes between self and non-self, allowing the body to avoid
attacking itself. Clinical case studies will illustrate what happens when these defenses fail, resulting in
immunodeficiency disease, allergy or autoimmunity.
References:
1.
Kenneth Murphy. Janeway's Immunobiology. 8th Edition. Garland Science. London. 2012.
2.
Raif Geha and Luigi Notarangelo. Case Studies in Immunology. A Clinical Companion. 6th Edition.
Garland Science. London. 2012.
The course is organized in cooperation with the National Doctoral Programme in Nanoscience (NGS-NANO).
CH1: Structural Determination by NMR Spectroscopy
JY code: KEMV100
Time: 6.–11.8.2014
Place: KEM1
Lecturer: Prof. Ian Fleming (University of Cambridge, United Kingdom)
Coordinator: Dr. Elina Sievänen
Lectures: 16 h lectures, and homework
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, and homework.
Grading: Pass/fail
Prerequisites: Basic knowledge of NMR spectroscopy. M.Sc. or equivalent in Chemistry. M.Sc. students in
their final term are encouraged to apply as well.
Abstract: NMR spectroscopy is the preeminent and most informative of the spectroscopic techniques employed
in chemical research laboratories today. Additionally, an NMR spectrometer is one of the largest single
investments in analytical instrumentation a laboratory is likely to make. For both of these reasons, it is important
that a chemist, in order to promote his/her research, is able to exploit the full capacities of these spectrometers,
and to be aware of the range of techniques that can be deployed. The aim of this course is to promote NMR
spectroscopy as a tool in structure determination, including the determination of conformation and of relative
and absolute configuration. The classes will include many practical examples, with opportunites to practise the
interpretation of simple one-dimensional NMR spectra and the two-dimensional spectra: COSY, TOCSY,
HSQC, HMBC and NOESY.
The course is organized in cooperation with the National Doctoral Programme in Nanoscience (NGSNANO), the National Doctoral Programme in Informational and Structural Biology (ISB), and the Department
of Chemistry of the University of Jyväskylä.
CH2: NMR Spectroscopy of Supramolecular Systems
JY code: KEMV101
Time: 12.–15.8.2014
Place: KEM1
Lecturer: Prof. Juan F. Miravet (Jaume I University, Spain)
Coordinator: Dr. Elina Sievänen
Lectures: 16 h lectures, and homework
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, and homework.
Grading: Pass/fail
Prerequisites: Basic knowledge of NMR spectroscopy. M.Sc. or equivalent in Chemistry. M.Sc. students in
their final term are encouraged to apply as well.
Abstract: NMR is probably better suited than any other experimental technique for the characterization of
supramolecular systems. It provides valuable structural information on complexes, the dynamics of their
formation, and possible rearrangement between isomeric forms or the interplay between hosts and guests. This
course emphasizes on introducing applications of the available NMR experiments for investigating different
supramolecular systems, not forgetting the fundamentals of NMR spectroscopy combined with some general
discussion about the pulse sequences involved in the experiments.
The course is organized in cooperation with the National Doctoral Programme in Nanoscience (NGSNANO), the National Doctoral Programme in Informational and Structural Biology (ISB), and the Department
of Chemistry of the University of Jyväskylä.
CH3: Electrochemistry in Chemical Reactivity: Basic Principles and Applications
JY code: KEMV102
Time: 18.–22.8.2014
Place: KEM1
Coordinators: Prof. Matti Haukka, Dr. Heikki Tuononen, and Dr. Jari Konu
Lecturer: Prof. René Boeré (University of Lethbridge, Canada)
Lectures: 20 h lectures (4 h/day)
Credits: 3 ECTS
Passing: Obligatory attendance at lectures, and essay.
Grading: Pass/fail
Prerequisites: The course is targeted at the advanced undergraduate and graduate/post graduate level students
in chemistry. No prior experience on electrochemistry is required.
Abstract: Many chemical reactions involve redox processes i.e. the transfer of electrons. Electrochemistry
offers the means to investigate both the energy and the mechanisms related to these reactions by directly
observing the electrons involved in the process. This course will focus on the fundamentals of electrochemistry
and how a chemist may use the discussed techniques to advantage in the study of chemical systems. Wherever
possible, the principles will be illustrated with examples drawn from chemical applications of the discussed
techniques.
The course is organized in cooperation with Finnish Cultural Foundation, and the Department of Chemistry of
the University of Jyväskylä.
NANO1: Theories of Everything: Thermodynamics, Statistical Physics, Quantum Mechanics
JY code: KEMV103
Time: 11.–22.8.2014
Place: FYS1
Coordinators: Prof. Janne Ihalainen, and Dr. Gerrit Groenhof
Lecturer: Associate Professor Gert van der Zwan (VU University Amsterdam, Netherlands)
Lectures: 20 h lectures, assignments, and question hour
Credits: 3 ECTS
Passing: Obligatory attendance at lectures, and the students will pass by completing the assignments.
Grading: Pass/fail
Abstract: The physics and chemistry of the world immediately around us can be described by a limited number
of well-established theories. Thermodynamics with its two fundamental laws is at the basis of it all, classical and
quantum mechanics account for the description of structure and changes, and statistical physics allows us to deal
with the enormous number of possible states in even the simplest interesting systems. Taken separately each of
these fields has clear foundations and sets of rules which, at least in principle, permit us to describe and predict
almost all processes we, as physical chemists, are interested in. There remain, however, fundamental problems
where these fields interact. Classical and quantum mechanics are fundamentally incompatible, the relation
between the dynamical laws of statistical and classical mechanics has been controversial since the mid 19th
century, and even though the greatest physicists believe that the laws of thermodynamics will never be
overthrown, its fundaments and consequences often need to be reexamined. In this course I give an overview of
the fundamentals, and discuss some of the problems. To show where and why these problems are relevant, the
photosynthetic complex is used. This complex is a large collection of proteins and pigments in which many
different processes take place: interaction of light and matter, energy-, electron-, and proton transfer reactions,
molecular diffusion and reorientation, dynamical processes on virtually any length and time scale. Almost all
these processes cross the borders between the fields mentioned, and therefore form an interesting playground for
our theories. Recent controversies - is the photosynthetic efficiency higher than Carnot efficiency? does
coherence or entanglement play a role in energy absorption and transfer? - and fundamental problems - how are
the quantum transfer reactions coupled to a classical environment? - can be illustrated and investigated using
this system. Which has the added advantage that it is extremely relevant for our survival, so that an enormous
body of experimental results has become available in the past fifty years or so. Although I could not possibly
claim to have all the solutions, or even a few, I do hope in this course to provide some of the tools that have
been developed over time to think about the questions. In the mean time we also learn something about
photosynthesis. Lectures and work sessions give ample opportunity to discuss and investigate some of the
problems in detail. Course material will be provided.
The course is organized in cooperation with the National Doctoral Programme in Nanoscience (NGS-NANO).
NANO2: Nano Machinery & Imaging Towards Personalized Medicine
JY code: SMBS302
Time: 11.–15.8.2014
Place: YAA303
Coordinator: Dr. Varpu Marjomäki
Lecturers: FiDiPro Professor Holland R. Cheng (University of Jyväskylä, and University of California, Davis,
United States), Dr. Varpu Marjomäki (University of Jyväskylä), Dr. Lassi Paavolainen (University of
Jyväskylä), M.Sc. Mohammad A.B. Kalkhoran (University of California, Davis, United States), Prof. Ulla
Ruotsalainen (TUT, Tampere, Finland), Dr. Silke Krol (Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta,
Milan, Italy), and Dr. Johanna Laakkonen (University of Eastern Finland)
Lectures: About 30 h lectures
Credits: 3 ECTS
Passing: Obligatory attendance at lectures, and short assays written on a few chosen subjects. There will be a
slot for the students to present their interests by having 5-10 min oral presentations.
Grading: Pass/fail
Prerequisites: The course is targeted at the advanced undergraduate and especially at graduate students. Basic
knowledge on cell biology and imaging.
Abstract: The course focuses on modern nano formulations (particles, probes, markers) that are used for
visualizing molecules or higher assemblies, such as viruses in cells and tissues. In addition, the course deals
with the trafficking of these probes inside cells and tissues, as well as the methods for their visualization
(confocal light microscopy and electron microscopy). Image reconstruction from multidimensional confocal
data as well as from electron tomography images are also discussed with some further attention on algorithms
used on the reconstruction, as well as on practical quantification from light microscopy data. The lectures also
consist of topics on whole animal and tissue imaging (Tomography and Metabolic Imaging).
The course is organized in cooperation with the National Doctoral Programme in Nanoscience (NGS-NANO),
and the Department of Biological and Environmental Science of the University of Jyväskylä.
NANO3: Nanobiotechnology
JY code: FYSV428
Time: 18.–22.8.2014
Place: YN341
Coordinator: Dr. Jussi Toppari
Lecturer: Dr. Wolfgang Fritzsche (Leibniz Institute of Photonic Technology (IPHT) Jena, Germany)
Lectures: 10 h lectures, 6 h laboratory works, and exam.
Credits: 2 ECTS
Passing: Exam passed, laboratory work and report done, and present at least on four lectures out of five.
Grading: Pass/fail
Prerequisites: The course is targeted at the advanced undergraduate and graduate/post graduate level students
in chemistry and physics. Basic knowledge on nanotechnology.
Abstract: The lecture series will focus on bionanotechnology as the interdisciplinary field dealing with the
application of nanotechnology in life sciences, but also the utilization of molecular principles in
nanotechnology. In the first part, an introduction into nanobiotechnology and into the two contributing fields
(nano- as well as biotechnology) will be given. Here, also the molecular tools and techniques will be explained.
This part will be complemented by an overview about typical characterization techniques. The last years
witnessed a growing interest in the application of miniaturized technologies in life sciences, such as in
nanomedicien. This is driven by the potential cost reduction, but also the potential for completely new
therapeutic approaches (e.g. drug targeting, personalized medicine). An introduction into the nanotechnological
basis for these approaches will be given. The last part deals with the use of molecular approaches as well as
units for the realization of novel materials and functional devices for fields like nanomedicine, nanoelectronics
or nanophotonics. It will be shown that this approach is unique in its potential resolution and precision in order
to generate highly defined nanoscale devices. At the end, possible risks and problems with these nanoscale
approaches will be discussed.
The course is organized in cooperation with the National Doctoral Programme in Nanoscience (NGS-NANO),
and the Department of Physics of the University of Jyväskylä.
COM1: Short Course on Multigrid Methods and Applications
JY code: TIEJ663
Time: 11.–15.8.2014
Place: Ag Gamma
Coordinator: Dr. Sanna Mönkölä
Lecturer: Prof. Ludmil T. Zikatanov (Department of Mathematics, University Park, United States)
Lectures: 20 h lectures
Credits: 3 ECTS
Passing: Obligatory attendance at lectures, and completing the exercises.
Grading: Pass/fail
Prerequisities: Basics in numerical computing; knowledge of basic numerical methods for solving linear
systems of algebraic equations.
Abstract: This short course is on the theory and practice of multigrid methods and their applications to graph
problems. The presentation will follow the subspace correction framework. The material is selected to cover
abstract theory of multigrid, heuristic algorithms such as AMG, application and implementation of the methods.
References:
1.
Jinchao Xu. Iterative methods by space decomposition and subspace correction. SIAM Rev., 34(4):581–
613, 1992.
2.
Jinchao Xu and Ludmil Zikatanov. The method of alternating projections and the method of subspace
corrections in Hilbert space. J. Amer. Math. Soc., 15(3):573–597, 2002.
3.
Panayot S. Vassilevski. Multilevel block factorization preconditioners. Springer, New York, 2008.
Matrix-based analysis and algorithms for solving finite element equations.
4.
Panayot S. Vassilevski. Lecture notes on multigrid methods. Technical Report LLNL-TR-439511,
Lawrence Livermore National Laboratory, July 1 2010. Available at http://people.llnl.gov/vassilevski1.
5.
Paola F. Antonietti and Ludmil T. Zikatanov. Lecture notes on subspace correction and multigrid
methods. Technical report, Laboratory on Modeling and Scientific Computing (MOX), Politecnico di
Milano, 2013. In preparation. Some of these notes were scribed by the participants in the summer course
on MG methods in Milano, Summer 2013.
The course is organized in cooperation with the Department of Mathematical Information Technology of the
University of Jyväskylä.
COM2: A Short Course on Evolutionary Equations
JY code: TIEJ664
Time: 11.–15.8.2014
Place: Ag Gamma
Lecturer: Senior professor Rainer Picard (Mathematik Institut für Analysis, Dresden, Germany)
Credits: 3 ECTS
Grading: Pass/fail
Prerequisities: Partial differential equations, and numerical analysis.
Abstract: This course presents the Hilbert space solution theory of a class of operator equations involving timedifferentiation (evolutionary equations). This class is comprehensive in the sense that it covers all typical
models of mathematical physics such as acoustics, thermodynamics, visco-elastics, electrodynamics, quantum
dynamics as well as systems describing various couplings of such model equations in a unified Hilbert space
framework. It extends the typical problem classes accessible via a classical evolution equation approach to socalled differential-algebraic systems. In order to make the theoretical framework easily accessible, the course
will to a large extent be reviewing the needed results from Hilbert space theory on which our approach to
evolutionary equations is based. In later parts of the course we shall focus on specific applications of the
approach to problems of mathematical physics and engineering.
The course is organized in cooperation with the Finnish Doctoral Programme in Computational Sciences
(FICS), and the Department of Mathematical Information Technology of the University of Jyväskylä.
COM3: Numerical Methods for Option Pricing
JY code: TIEJ665
Time: 18.–22.8.2014
Place: Ag Gamma
Lecturers: Senior lecturer Lina von Sydow (Division of Scientific Computing, Uppsala, Sweden), and Prof. Jari
Toivanen (Institute for Computational and Mathematical Engineering, Stanford University, United States)
Credits: 3 ECTS
Maximum of Students: 38
Grading: Pass/fail
Prerequisities: Basic calculus and linear algebra, some familiarity with finite difference methods, programming
experience preferably also with MATLAB.
Abstract: Markets offer large number of different kinds of derivatives on underlying assets like financial
instruments and commodities. A common derivative is an option giving the right to sell (put) or buy (call) a
given stock at its expiry. Pricing the derivatives is typically based a stochastic model for the value of the
underlying asset. This course covers two numerical techniques to compute the price of options. The first one is
the Monte Carlo method which samples sufficient number of asset value paths. The second approach derives a
partial differential equation for the price and then solves it numerically using a finite difference method. The
course teaches the basic properties of these methods and how to implement them using Matlab. The BlackScholes model (geometrical Brownian motion) for the underlying asset and some of its generalizations will be
considered.
COM4: Optimal Control of PDEs
JY code: TIEJ666
Time: 18.–22.8.2014
Place: MaD205
Lecturer: Prof. Irwin Yousept (Technische Universität Darmstadt, Germany), and M.Sc. Vera Bommer
(Technische Universität Darmstadt, Germany)
Lectures: 13 h lectures, and 7 h demonstrations
Credits: 3 ECTS
Passing: Obligatory attendance at lectures as well as demos, and completing the exercises.
Grading: Pass/fail
Prerequisities: Basic calculus. Very basic knowledge in functional analysis and linear elliptic partial
differential equations will be useful. The course is aimed at graduate students as well as advanced undergraduate
students.
Abstract: The fact that many physical phenomena can be described by partial differential equations (PDEs) has
made the optimal control of PDEs one of the central principles in applied mathematics. In particular, it plays a
key role as an important tool in many real-world applications, such as in electromagnetism, mechanics,
aerodynamics, nanotechnologies, medicine, and many others. Along with technological advances in computers,
a deep understanding in this discipline could potentially lead to economic benefits and high productivity. This
course will give basic concepts in the theory of the optimal control governed by linear elliptic PDEs. The main
topics include:
1.
the existence theory for optimal solutions in Sobolev spaces
2.
the KKT theory based on variational inequalities
3.
basic algorithms including their numerical implementations using FEniCS.
References:
1.
F. Tröltzsch: Optimal control of partial differential equations. American Mathematical Society,
Providence, RI, 2010.
2.
A. Logg, K.-A. Mardal, and G. N. Wells. Automated Solution of Differential Equations by the Finite
Element Method. Springer, Boston, 2012.
COM5: Variational Methods and Optimal Control
JY code: TIEJ667
Time: 18.–22.8.2014
Place: Ag Delta
Coordinator: Dr. Olli Mali
Lecturer: Prof. Sergey Repin (University of Jyväskylä)
Credits: 2 ECTS
Passing: Obligatory attendance at lectures.
Grading: Pass/fail
Abstract: Variational methods are widely used in mathematical and numerical analysis of various objects and
phenomena in physics, biology, economy, and other sciences. The first part of this course of lectures is intended
to present in a compact form history, main ideas, and recent trends in the development of variational methods.
Also, we discuss applications arising in, e.g., theory of information (recovery of images), free boundary
problems and highly nonlinear models in mechanics and physics (plasticity, non-linear fluids, and phase
transitions). The second part contains a concise overview of the optimization theory, paying major attention to
problems with distributed control and state equations formed by differential equations. Lectures are oriented
towards listeners interested in mathematics, mathematical modeling, and computational methods. However, in
the majority of cases no special mathematical knowledge (beyond standard mathematical analysis courses of
physical/mathematical faculties) is required.
COM6: Advances on Evolutionary Multiobjective Optimization
JY code: TIEJ668
Time: 6.–8.8.2014
Place: Ag Gamma
Coordinator: Dr. Karthik Sindhya
Lecturer: Prof. Kalyanmoy Deb (Michigan State University, USA)
Lectures: 18 h lectures (6 h/day)
Credits: 2 ECTS
Passing: Obligatory attendance at lectures. There will be an exam at the end of the course.
Grading: Pass/fail
Prerequisities: Computer programming knowledge and a course on college-level linear algebra are required.
Knowledge of basic optimization concepts and/or evolutionary computation will be useful, but not mandatory.
Abstract: Multi-objective optimization handles multiple conflicting objectives simultaneously and is of
tremendous importance in practice. These problems give rise to a set of trade-off optimal solutions (called
Pareto-optimal solutions) and are targets of any optimization method. One of the ways to solve these problems
is to scalarize multiple objectives into a single paramterized objective and solve repeatedly for different
parameter values to find a single optimal solution one at a time. Evolutionary optimization methods work with a
population of solutions in each iteration and therefore becomes ideal candidates for finding multiple trade-off
solutions in a single simulation run. Research and application in Evolutionary multi-objective optimization
(EMO) started in the beginning of Nineties and is now one of the most popular field in the area of evolutionary
computation and optimization. In this course, we shall briefly introduce evolutionary optimization methods for
single-objective handling and then provide fundamental principles of EMO. Thereafter, we shall present a few
key EMO algorithms and then discuss recent advances in research and application in the area of EMO.
Examples from practice will be presented to illustrate the concepts.
COM7: Beyond OFDM Radio Interfaces Facilitating Spectrum Coexistence and Secondary
Access
JY code: TIEJ669
Time: 6.–8.8.2014
Place: Ag Delta
Coordinator: Prof. Tapani Ristaniemi, and Dr. Dmitry Petrov
Lecturer: Prof. C. Faouzi Bader (SUPELEC, France), and Dr. Dmitry Petrov (University of Jyväskylä)
Credits: 3 ECTS
Passing: Obligatory attendance at lectures.
Grading: Pass/fail
Abstract: This course aims at delivering to the audience the in-depth analysis of various multicarrier
modulations techniques, which can be considered for application in the future, flexible communications
systems. Currently due to its great features Orthogonal Frequency Division Multiplexing (OFDM) technique has
been already applied in various existing wireless and wired communication systems, such as DVB-T/T2/H,
IEEE 802.11, IEEE 802.16, LTE, xDSL etc. Advanced future radio interface platforms with dynamic spectrum
access (DSA) and sharing are considered to be the key technologies in making the best solution of the conflict
between the inefficient usage of the frequency spectrum and the continuous evolution in the wireless
communication.
There is no doubt that multicarrier communication systems are considered as the most appropriate candidate for
spectrum coexistence and secondary access for future cognitive systems due to its flexibility in allocating
different resources among different users as well as its ability to fill the spectrum holes left by the primary users
(PUs). However, the use of a multicarrier scheme with specific carrier shapes or another one will affect
differently the overall performance of the communication system. Fortunately, investigations performed in
many research centers and industries within the framework of European research projects such as PHYDYAS,
URANUS, and EMPhAtiC have shown that these constraints can be alleviated e.g. by application of the socalled filter-bank based multicarrier signals. One of the main features of such approach is the great possibility
for adaptation of various signal parameters (e.g. pulse shape, low out-of-band emission modulation techniques,
spectrally adaptive and flexible modulation techniques, filtering techniques, etc.) which makes this solution
suitable for application in future flexible radio communication systems.
Therefore, the plan for the course is based on two parts. First part rises a simple but not minor question; ¿is
OFDM the best scheme for spectrum sharing and system coexistence context? To answer such a question, the
authors will first focus on basic theoretical aspects centring on the following: 1) basics aspects of OFDM system
will be presented followed by the summary of the features of other multicarrier solutions (DMT, FMT, LatticeOFDM etc.), 2) next, the main features of the of filter-bank based transmission (FB-MC) systems will be
presented where aspects related to achieved capacity under different interference constraints and total budgets in
comparison with achieved by OFDM. Second part of this course focuses on the use of advanced multicarrier
wave forms for spectrum sharing and system coexistence having as a goal applications on: TV white space,
Machine to Machine, future broadband Professional Mobile Radio(PMR)/(PPDR) systems, and beyond LTE.
IS1: Social Network Behavior Analysis
JY code: KOGJ576
Time: 11.–15.8.2014
Place: Ag Alfa, Demo: Ag B112.2 and Ag B113.1
Coordinator: Dr. Alexander Semenov
Lecturer: Dr. Alexander Nikolaev (University at Buffalo, the State University of New York, United States)
Lectures: 20 h lectures, and demonstrations
Credits: 3 ECTS
Passing: Obligatory attendance at lectures and demonstrations, and home work.
Grading/evaluation:

Labs (15% of full grade each):
o
Analysis of social network structure (software to be determined)
o
Hypothesis testing with networks (UCINET)
o
Using exponential random graph models with static network data (R)
o
Using actor-oriented models with longitudinal network data (SIENA)

Reaction Paper: 20% of full grade

Proposal Paper: 20% of full grade
Prerequisites: Since the course is aimed at developing a systematic understanding and analysis of networks and
processes over networks, the students will be expected to work with mathematical models and analytical
reasoning. Basic knowledge of matrix algebra, statistical hypothesis testing, linear regression, and probability
theory is required. Knowledge of stochastic processes and optimization techniques is encouraged but not
required.
Abstract: Social network analysis is an emerging field in modern science. En route to accumulating knowledge
and gaining understanding about social network structure and behavior, researchers across multiple domains
engage in theoretical and applied investigations. This course is intended to review key concepts and findings
with network perspectives on communicating and organizing. It will rely on scholarship on the science of
networks in communication, computer science, economics, engineering, organizational science, life sciences,
physical sciences, political science, psychology, and sociology, with the purpose of taking an in-depth look at
theories, methods, and tools to examine the structure and dynamics of networks.
MA1: Introduction to l^p-cohomology
JY code: MATS526
Time: 11.–15.8.2014
Place: MaD202
Coordinator: Dr. Pekka Pankka
Lecturer: Prof. Mario Bonk (University of California, Department of Mathematics, United States)
Lectures: 10 h lectures (2 x 45 min/day, and consultations/day)
Credits: 2 ECTS
Grading: Pass/fail
Prerequisites: The course is aimed at graduate students, but strong advanced undergraduate students with the
appropriate background might find it suitable. Basic knowledge on metric geometry will be useful.
Abstract: l^p-cohomology has found applications in diverse areas of mathematics such as the geometry of
negatively curved manifolds, analysis on metric spaces, and geometric group theory. This course will give a
gentle introduction to this subject. No prior knowledge of any homology or cohomology theory is expected from
the participants. Basic concepts and ideas related to this will be reviewed before introducing l^p-cohomology
and establishing its most important properties. Later in the course I will discuss applications of l^p-cohomology
and some open problems.
The course is organized in cooperation with the Finnish National Graduate School in Mathematics and its
Applications, and the Finnish Academy of Science and Letters.
MA2: Coarse Geometry of the Laplacian and Other Analytic Quantities
JY code: MATS527
Time: 11.–15.8.2014
Place: MaD202
Coordinator: Dr. Pekka Pankka
Lecturer: Prof. Juan Souto (IMRAR, University of Rennes, France)
Lectures: 10 h lectures (2 x 45 min/day, and consultations/day)
Credits: 2 ECTS
Grading: Pass/fail
Prerequisites: The course is aimed at graduate students, but strong advanced undergraduate students with the
appropriate background might find it suitable. Although there are no formal prerequisities, knowledge on metric
(and Riemannian) geometry and elementary algebraic topology will be useful.
Abstract: The goal of these lectures is to discuss the quasi-invariance under quasi-isometries of analytic
quantities like for example the isoperimetric constant, the Cheeger constant, p-parabolicity, or the eigenvalues of
the Laplacian. As applications I will for instance discuss (1) the recurrence properties of the simple random
walk on planar graphs, or (2) prove that every Riemannian manifold whose fundamental group surjects onto a
free group admits a tower of covers which forms an expander. To a large extent the methods are rather
elementary, although some familiarity with Riemannian geometry should be helpful.
The course is organized in cooperation with the Finnish National Graduate School in Mathematics and its
Applications, and the Finnish Academy of Science and Letters.
MA3: Five Lectures on Brownian Motion and Diffusions
JY code: MATS528
Time: 18.–22.8.2014
Place: MaD202
Coordinator: Dr. Anni Laitinen
Lecturers: Prof. Pierre Vallois (Institut Elie Cartan de Lorraine, France), and Prof. Paavo Salminen
(Department of Mathematics, Åbo Akademi University, Finland)
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, and completing the exercises
Grading: Pass/fail
Prerequisities: The course is aimed at graduate students, but undergraduate students with strong background in
probability theory and stochastic processes are also welcome. Researchers and postdocs in stochastics might
also found the presented material interesting and useful.
Abstract: In these five lectures we discuss topics like one-dimensional diffusions, Bessel processes, excursions,
logistic SDE, perpetual integral functionals of diffusions, and maximum increase and decrease of Brownian
motion. The course is mainly based on the lecturers’ and their collaborators’ earlier and more recent research on
the above listed topics. After an introductory lecture on diffusions, each lecture forms its own entity on a
particular problem. Applications, e.g., in molecular biology and mathematical finance are indicated.
The course is organized in cooperation with the Finnish Doctoral Programme in Stochastic and Statistics
(FDPSS), and the Department of Mathematics and Statistics of the University of Jyväskylä.
MA4: Statistical and Computational Inverse Problems with Applications
JY code: MATS529
Time: 11.–13.8.2014
Place: MaD259
Coordinators: Dr. Riikka Ahola (University of Oulu), prof. Pasi Karjalainen (University of Eastern Finland),
and prof. Mikko Salo (University of Jyväskylä)
Lecturer: Docent Aku Seppänen (University of Eastern Finland)
Lectures: 10 h lectures, and home work
Credits: 2 ECTS
Grading: Pass/fail
Prerequisites: The course is aimed at graduate students, but advanced undergraduate students with the
appropriate background might find it suitable.
Abstract: Many estimation problems arising from e.g. engineering applications lead to ill-posed inverse
problems. Inverse problems are characterized by the property that the solutions are sensitive to measurement
noise and modeling errors. In this course, the Bayesian (statistical) approach to inverse problems is
overviewed. The emphasis is on statistical modeling of uncertainties and in computational aspects of inverse
problems. As example cases, we consider inverse problems related to tomographic imaging, especially electrical
impedance tomography (EIT) where the internal 3D distribution of the conductivity within a body is imaged
based on a set of electrical measurements from the surface of the body. Various applications of EIT to industrial
and biomedical imaging and non-destructive material testing are considered.
The course is organized in cooperation with the International Doctoral Programme in Biomedical Engineering
and Medical Physics (iBioMEP).
PH1: Basics of Operating an On-Line Recoil Separator
JY code: FYSV422
Time: 18.–22.8.2014
Place: FYS3
Coordinator: Dr. Jan Sarén
Lecturers: Prof. Matti Leino (University of Jyväskylä), Dr. Jan Sarén (University of Jyväskylä), and Dr. Juha
Uusitalo (University of Jyväskylä)
Lectures: 10 h lectures, and 18 h demonstrations.
Credits: 3 ECTS
Passing: Obligatory attendance at lectures, and demostrations.
Grading: Pass/fail
Prerequisites: Basic knowledge of nuclear physics and linear algebra.
Abstract: This course is intended for users of on-line recoil separators in nuclear physics experiments. The aim
is to concentrate on the practical aspects of using such devices, and the focus is on hands-on work in the JYFL
accelerator laboratory. The laboratory houses the gas-filled separator RITU, which has been in hard use during
the past 20 years, and the brand new MARA device which is a compact modification of the FMA-type of
vacuum separator. Beam will be taken into one or both of these separators to get a real feeling of experimental
work using such devices. The laboratory work will be complemented with presentations on closely related
topics such as vacuum techniques and data acquisition.
PH2: Mean-Field Description of Atomic Nuclei
JY code: FYSV423
Time: 11.–15.8.2014
Place: FYS3
Coordinator: Dr. Karim Bennaceur
Lecturer: Dr. Karim Bennaceur (University of Jyväskylä, Finland)
Lectures: 10 h lectures (2 h/day), and 2 sessions of exercises in computer rooms.
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, work during computer class, and homework.
Grading: Pass/fail
Prerequisites: Advanced quantum mechanics, programming (possibly in FORTRAN, C or C++), some basic
knowledge of quantum fields theory could help but is not mandatory.
Abstract: This course will give an introduction on the mean-field and beyond mean-fields techniques used in
nuclear structure with a special emphasis on the construction of effective interactions and effective Energy
Density Functionals. General properties of atomic nuclei and infinite nuclear matter will be discussed before
introducing the concept of mean-field and giving a detailed derivation of the corresponding one-body equations.
The methods used for introducing pairing correlations describing the nuclear superfluidity will be discussed.
Then the techniques used to go beyond the simple mean-field approach (through the mechanism of symmetry
breaking and symmetry restauration or the Generator Coordinate method) will be simply presented. This course
will be complemented by four hours of exercises on computer allowing students to get acquainted with codes
used to solve the mean-field equations.
PH3: Radiation Effects in Nano- and Microelectronics
JY code: FYSV424
Time: 6.–8.8.2014
Place: FYS1
Coordinator: Dr. Arto Javanainen
Lecturer: Dr. Frederic Wrobel (University of Montpellier2, France)
Lectures: 10 h lectures, and 2 h laboratory demonstrations
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, and homework/exam.
Grading: Pass/fail
Prerequisites: Basic knowledge of university electronics and radiation interactions.
Abstract: Radiation-induced failures in microelectronics pose a growing concern in the aerospace and avionic
communities. Incident radiation acting on these devices is mainly due to cosmic rays and their secondary
particles produced in the Earth atmosphere. Energetic particles induce various device malfunctions via their
interaction with materials in electronic devices. Due to the high integration level in modern devices this has
become now an issue for all commercial applications, also at ground level. The aim of this course is to introduce
the natural radiation environments and their impact on electronic devices. After a brief introduction, the
radiation environments will be presented for space and atmospheric applications (avionic and ground level).
Then, the effects of radiation on matter will be discussed in detail, which will reveal the fact that the generation
of electron-hole pairs is the predominant phenomenon in radiation-induced device malfunctions. Different
radiation-induced effects in microelectronics will be discussed. As an example, we will focus on soft errors
induced in atmospheric environment. We will present the principles of Monte Carlo simulation tools, which are
very useful to establish the transient current shapes and to evaluate the soft error rates. These kinds of estimation
tools can be validated experimentally thanks to accelerated tests under beam and/or accelerated test in natural
environment (i.e. in high altitude). Finally, we will demonstrate a memory test bench that will be irradiated, and
we’ll see how much errors occur under radiation stress.
The course is organized in cooperation with the Department of Physics of the University of Jyväskylä.
PH4: Introduction to Relativistic Heavy Ion Collisions: The Beauty of the Partonic ManyBody Problem and Exploring the Medium with Hard Probes
JY code: FYSV425
Time: 11.–22.8.2014
Place: FYS1
Coordinator: Prof. Jan Rak
Lecturers: Prof. Tom Hemmick (Stony Brook University, United States), and Dr. Andreas Morsch (ALICE
Collaboration, CERN, Switzerland)
Lectures: 20 h lectures, demonstrations, and exam.
Credits: 4 ECTS
Passing: Obligatory attendance at lectures and demonstrations, and exam
Grading: Pass/fail
Prerequisites: Basics of Quantum Mechanics and Special Relativity, C++, basic linux knowledge.
Abstract: As early students of physics, we are sometimes taught to fear themany-body problem because it has
no exact solution. As we mature, we recognize that the true beauty of nature is most often a result of many-body
physics. Can we understand a rainbow using perturbative QED as the starting point? Somewhat more directly: It
would be foolish to describe a rainbow starting from pQED! We now understand that the strong interactions
between quarks and gluons also have a rich many-body nature that is exhibited both in the confined/cold
"laboratory" of the nucleon interior and in the hot/deconfined material known as Quark-Gluon Plasma. This
material exhibits multiple phases, flow patterns reminiscent of water (or more closely super-fluid Helium), and
record low viscosity/entropy-density. This series of lectures it intended to reach both the introductory and
advanced student by beginning from the most basic principles (theory and detector hardware) and work toward
the primary results from the so-called "RHIC era". This course will be followed by a series of lectures from Dr.
Andreas Morsch, who will emphasize hard probes, copious at the LHC energy, for detailed investigation of the
QGP medium properties.
Scattering experiments are the best way to gain information about the properties of subatomic structures: think
about Rutherford's gold foil experiment to prove the existence of the atomic nucleus or deep inelastic scattering
using leptons to study the inside of hadrons. The hot and dense medium created in heavy ion collisions exists
ocnly for an extremely short time and in a tiny region, hence, standard scattering techniques can not be applied.
However, probes generated by QCD processes in the early stage of the collisions are modified by the medium
and can be used to learn about its properties. In heavy ion collisions at the Large Hadron Collider, the world's
highest energy heavy ion collider, these so called "hard probes" are copiously produced. In this series of lectures
you will learn how the production of these probes is calculated in perturbative QCD for proton-proton and heavy
ion collisions and how the medium can modify their properties. The experimental techniques for their study will
be explained. The lectures includes also an introduction to Monte Carlo methods with hands-on exercises.
Recent experimental results from the LHC will be discussed.
The course is organized in cooperation with the Department of Physics of the University of Jyväskylä.
PH5: How Can We See Nuclei? - An Overview of Nuclear Structure and the Role of Isospin
Quantum Number JY code: FYSV426
Time: 6.–12.8.2014
Place: YN121
Coordinator: Prof. Ari Jokinen
Lecturer: Dr. Yoshitaka Fujita (Research Center for Nuclear Physics and Department of Physics, Osaka
University, Japan)
Lectures: 10 h lectures (2 h/day), and reports.
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, and reports.
Grading: Pass/fail
Prerequisites: Basics of Quantum Mechanics and very Basic Nuclear Physics.
Abstract: We seek to reorganize the basic understanding of Nuclear Structure Physics from a rather broad view
point by combining the individual knowledge that you may already have. Nuclei can be defined as a "Quantum
Finite Many-body System" in which Strong, Electromagnetic and Weak interactions are active. We try to
understand the very basic properties of this unique system in which three forces out of four fundamental forces
play important roles. We see that these three forces make “nuclear excitations and particle decay”, “Coulomb
excitations and gamma decay” and “neutrino-induced reactions and beta decay”, respectively. In addition, they
compete with each other to make their activity in nuclei wider. In order to connect the phenomena caused by
these three forces, the concept of “isospin” and "isospin symmetry" is important. The concept of isospin is
originated from the two fermionic degree of freedom in nuclei, i.e., protons and neutrons, and we can categorize
the nuclear excitations in terms of isospin as well as spin, where the latter is also a unique degree of freedom in
nuclei. We learn how isospin quantum number play important roles in nuclear structures, excitations and decays
taking the spin-isospin type nuclear excitations, especially the Gamow-Teller excitation, as an example.
Gamow-Teller excitation is one of the weak processes and they play important roles in the field of nuclear
astrophysics. Therefore, nuclear physics and its relationship with the Universe is also of our concern.
References:
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Y. Fujita, B. Rubio and W. Gelletly, Progress in Particle and Nuclear Physics 66 (2011) 549-606.
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Y. Fujita, Proceedings of Science, ENAS 6 (2011) 031.
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Y. Fujita, Weak Interaction in Nuclear Astrophysics - main actor: Gamow-Teller transitions -
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Y. Fujita, B. Rubio, W. Gelletly, Spin–isospin excitations probed by strong, weak and electro-magnetic
interactions
The course is organized in cooperation with Osaka University.
PH6: Excitons and Polaritons in Semiconductors: From One-Body to Many-Body Problems
JY code: FYSV427
Time: 6.-8.8.2014
Place: FYS3
Coordinator: Dr. Pekka Koskinen
Lecturer: Prof. Tetsuo Ogawa (Department of Physics, Osaka University, Japan)
Credits: 2 ECTS
Passing: Obligatory attendance at lectures, and publish a report.
Grading: Pass/fail
Prerequisites: Quantum Mechanics, Electromagnetism, and Condensed Matter Physics
Abstract: An exciton is a quasiparticle in an interband excited state of semiconductors, a bound state of an
electron in a conduction band and a hole in a valence band. This electron-hole (e-h) pair is coupled with a
photon to form an exciton polariton (referred to as a polariton), a hybridized substance of an electron, a hole,
and a photon. An exciton and a polariton are fundamental elementary particles, which characterize optically
excited states of matters, especially insulators and semiconductors. In this course, I shall review theoretical
aspects of physics of excitons and polaritons in semiconductors with and without a photon cavity. I will cover
from single-body problems to many-body ones to elucidate how they play important roles in optical responses
of matters. At the JSS, we will start one-body problems of a Wannier exciton, in particular, its dimensionality,
one-photon absorption and two-photon absorption processes. The electron-hole relative motion is influenced by
the spatial dimensions in low-dimensional semiconductors, leading to significant changes of the energy
structures and optical absorption spectra [1]. To detect low dimensionality of the e-h relative-motion
wavefunction, mid-gap two-photon absorption process and its anisotropic polarization dependence are shown to
be very powerful [2]. Next, many-body cooperative phenomena related to excitons are surveyed. A DMFT
(dynamical mean-field theory) treatment for the “exciton Mott transition,” a change from the exciton gas to the
electron-hole (e-h) plasma as the e-h density increases, is discussed for bulk semiconductors. In the onedimensional case, the exciton Mott transition is absent and the insulating “biexciton crystal” state is the most
probable ground state at zero temperature, shown by the two-band Tomonaga-Luttinger model [3]. An exciton
in metallic wires, i.e., the “Mahan exciton” in one dimension is shown to induce the Fermi-edge singularity in
optical spectra [4]. We are also interested in stationary states of semiconductor lasers including carrier-carrier
Coulomb scatterings. At low temperature, the BCS-type e-h pairing instability with dephasing induces the
“Fano-resonance gain” [5]. There, the single-mode laser operation is modified compared to the conventional
laser operation with the Lorentzian-type e-h plasma gain. Lastly, we talk about interacting electron-hole-photon
(e-h-p) systems (many polariton systems) with a microcavity. We pay attention both to the stationary
nonequilibrium and quasi-thermal equilibrium situations. Macroscopic numbers of the cavity polaritons can be
condensed into a single energy level and exhibit polariton BEC in a quasi-thermal equilibrium situation. Here,
the stationary state of the system is determined by variational minimization of the Free energy. Internal e-h
motion in the polariton condensates is clarified [6]. The polariton BEC is a candidate of a coherent light source,
similar to semiconductor lasers. Similarity and difference between the polariton BEC and the cw lasing in
stationary nonequilibrium situations should be clarified. We introduce a unified view of these two phenomena in
the Coulomb-correlated e-h-p systems [7], based on the Keldysh Green's function formalism, to discuss the
crossover from the polariton BEC to “BCS-coupled lasing” as the pumping increases.
References:
1.
T. Ogawa and T. Takagahara, Phys. Rev. B 44, 8138 (1991).
2.
A. Shimizu, T. Ogawa, and H. Sakaki, Phys. Rev. B 45, 11338 (1992); 48, 4910 (1993).
3.
N. Nagaosa and T. Ogawa, Solid State Commun. 88, 295 (1993); T. Ogawa, phys. state. sol. (b) 188, 83
(1995); K. Asano and T. Ogawa, J. Lumin, 112, 200 (2005).
4.
T. Ogawa, A. Furusaki, and N. Nagaosa, Phys. Rev. Lett. 68, 3638 (1992).
5.
K. Kamide, M. Yoshita, H. Akiyama, M. Yamaguchi, and T. Ogawa, submitted.
6.
K. Kamide, and T. Ogawa, Phys. Rev. Lett. 105, 056401 (2010); Phys. Rev. B 83, 165319 (2011).
7.
M. Yamgaguchi, K. Kamide, T. Ogawa, and Y. Yamamoto, New J. Phys. 14, 065001 (2012); M.
Yamaguchi, K. Kamide, R. Nii, T. Ogawa, and Y. Yamamoto, Phys. Rev. Lett. 111, 026404 (2013).
The course is organized in cooperation with Osaka University.
STAT1: Inferring Causality from Passive Observations
Jy code: TILS967
Time: 18.–22.8.2014
Place: MaD259
Coordinator: Prof. Juha Karvanen
Lecturer: Dr. Dominik Janzing (Max Planck Institute for Intelligent Systems, German)
Lectures: 17 h lectures, 6 h exercises, and homework assignments (homework assignments has been done at the
end of every day).
Credits: 3 ECTS
Passing: Obligatory attendance at lectures, exercises, and homework assignments.
Grading: Pass/fail
Abstract: Understanding causal relations is a core problem of scientific research (e.g. effectiveness of a drug,
effect of CO_2 on the climate, impact of interest rate on the market). Since causality describes the behaviour of
a system under interventions it is crucial for predicting the effects of our potential actions. It is sometimes
argued that causal relations can only be learned by intervening on the system. Since the 90s, however, there is
an increasing number of researchers from machine learning, philosophy and statistics who believe that causal
conclusions can also be derived from passive observations alone provided that appropriate assumptions are
made. The course will explain the approach from the 90s inferring the causal relation between n random
variables using conditional statistical dependences. Then it will describe more recent approaches to the problem
that also account for statistical properties other than conditional dependences. Moreover, it will show that causal
conclusions need not rely on *statistical* observations because we can also learn causal relations among single
objects.
The goal of the course is:
1.
to uncover common erroneous causal conclusions in real life
2.
to show that it is at the same time challenging and fascinating to find an axiomatic basis for reliable causal
conclusions
3.
to show that machine learning has made significant progress in developing new causal inference methods
during the past decades, but still requires major innovations
(FICS), and the Finnish Doctoral Programme in Stochastic and Statistics (FDPSS), and the Department of
Mathematics and Statistics of the University of Jyväskylä.
Annex II: Student comments
Comments on practical arrangements
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Regarding, time schedules I intend to say that there were as usual lots of overlapping courses.
It may be that there was an email problem, but when the timetable changed I did not notice until a
week before the summer school. This meant that I missed the majority of lectures in one of the
three courses I wanted to attend. It may be that I was accidentally missed off the email list but
maybe in future this could be more explicitly highlighted in future in various different places, like
Facebook, to avoid disappointment in the future.
The structure of the classes was quite unclear beforehand since at the last minute the length of
classes was changed from 2 hours to 3 hours. Also minimal information was provided by the
course organizer in PH4 course.
When I chose my modules (MA3, COM4) I made sure that there was no clash according to the
timetable however upon arrival I found out the MA3 would have a workshop each day relating to
the questions given during my COM4 course. As such I was not able to attend and benefit from
the workshops.
The schedule 9-11 and 13-15 (or even 12-14) is better.
I have only one small complaint to make. The NANO2 course lectures were highly concentrated
(from 9 am to 5 pm) and therefore it was impossible to attend most of the social programs. These,
in fact, started in the early afternoon when we were still in class.
Information related to course tasks could be more clear.
The official email list of the course should be restricted to official information only. The flood of
useless emails to my work address was very irritating. There should be another list or platform for
personal discussion for those who are interested.
I would appreciate very much if there was not the spam email from hundreds of people in the
summer school group such as “next week is my birthday, shall we party?”, “How do we go to
karaoke”. Even after the coordinator and tutors required them to stop, but it still went on and on.
There were some guys even trying to defense their behavior by sending some 'strange impolite'
email to everybody. In my opinion, this behavior was not nice at all.
Due to the information I received beforehand, I had no trouble going to Jyväskylä, locating my
room on the campus and finding my way around.
It would have been useful to list on the website all the events and activities in Kortepohja (even if
not related to the summer school), such as the board games club on Tuesday evening (which I
found only by chance).
It was difficult to find the accommodation office because there were no signs for the summer
school students. My phone broke on the way to Jyväskylä and there was nothing to rely on.
My room in Kortepohja was awful.
Accommodation was very bad - I didn't expect such a poor arrangement. The dorm rooms were
small, not very clean and poorly equipped (one desk, one chair for two people). The organisers
weren't able to arrange even a second chair for the room. If I had known that the rook looked like
it, I would arrange housing myself.
The accommodation was quite poor. In the first few days of the school the wether was very warm
and the apartments in Kortepohja it was not possible to turn of the heating in the bath room (that is
sufficient to heat the whole appartement), we could not open any window but one very small one,
there were some bugs in the kitchen and the matrasses were quite nasty.
The rooms in Kortepohja Student village was in very poor condition, (mold, dirty mattresses,
bedbugs? etc.). I don't think JSS should recommend it as accommodation to anyone. I returned my
keys for the dorm room, and asked for a refund. They told me to send a complaint by email to
"kyläsihteeri", which I did. They never answered my email!
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For example I arrived 1pm and I was waiting my keys almost 5 hours. Imagine some students
were transit more than 24 hours, and when they arrived must wait another hours to get their keys. I
am feeling that the accommodation was not perfect. Also in our room there was only one chair,
which means one of us must put his laptop in his bed.
I had some problems with understanding the maps of the students village, maybe it will be better
to indicate only the important things on the map - like where are the bus stops, which you should
take to reach the place to pick up the keys for the apartment.
I stayed in Hotel Alba, a beautiful and very comfortable hotel, and maily, very close to the
university. It's for sure the best place i which stay during the School, but it's too much expensive.
Maybe, for the next years, we could ask the hotel a reduction in the prices for the students. I'm
sure che in this way un larger number of students will decide to stay in that hotel during the
school.
I changed my accommodation to Hotel Alba, which also was affordable, had a much better
location, and excellent service. I would definitely recommend Alba to anyone going to JSS.
Apart of the complains given above, the opening hours of the info desk should be announced at
the webpage or other official and visible place, to avoid making an unnecessary trip and wasting
time.
I would have liked to have the lecture material distributed before each lecture.
It would be great to restore the ability to receive a survival pack in the campus village
Internet did not work on my computer (it did on my cellphone) but I did not take time to sort the
issue.
This was the best organized summer school I have ever seen! I was particularly struck by the
amount and quality of the social programme. Unfortunately, due to time constraints, I could only
stay in Jyvaskyla for one week and so had to miss most of the very interesting social calls.
Practical arrangements were very well organized. I am quite impressed with the efficiency of the
organization committee.
Everything was well done. Thanks to the organisers.
Everything is well organized and cheap.
Overall was JSS24 very well organized, good job!
It was good.
Comments on the social program
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It would have been better to repeat each week some unique event (like sauna and Finnish language
lesson), in order to give the possibility to everyone to attend them, even if they stay in Jyväskylä
only one week.
The week I was there I was unable to attend some of the courses such as the Finnish language and
Pasty course since they started before my COM4 course finished which was a shame as I wanted
to take part in these events.
I was disappointed that my lectures over-ran the scheduled time and I was forced to miss out on
attending the pasty course. Maybe in future it would be better to hold this event later in the
evening, or inform the lecturers of the times that these events are running for so they can rearrange the timetable if necessary.
Public Lecture “Cyber-security threats in the digital world” was not of level of an international
event of specialists. It was too basic.
Great canoeing trip and nice community! Good opportunities to familiarize with city!
Social program for only BIO1 and BIO2 courses was nice!
Generally I participated in most of the social programs and all of them were quite enjoyable.
However I feel that the quality of food served at the farewell party can be improved.
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It may be worth to change the farewell party (Survo Manor) to another event (a ship tour, sauna on
the water, planetarium, etc.).
The programme are well organised. Particularly the opening ceremony, the food is so delicious.
In the future: Sauna on the water (boat sauna trip)
Social Program is a great advantage of JSS. After lectures there is a possibility to relax, meet new
people, learn about Finland and try different activities.
Didn't attend of these but I'm very impressed how vast social program there was. Looks great and
I bet the visitors from abroad must have enjoyed them a lot!
I actually didn't have time to attend social events. I still believe they were good.
Congratulations for a social programme really well organized. During the social activities I made
a lot of friends, I learn a lot about Finnish culture, language, custom, food. I can say that now I
love Finland (it was my first time in Finland) and I will miss Finland and Jyväskylä, the nature,
the possibility to go around everywhere woth my bike, my friends in Jyväskylä, etc... Thank you!!
It was useful as I gained contacts from future career perspective.
In my mind the social program was already quite comprehensive.
Very nice, congratulations!
Comments on the get-together events
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I've enjoyed the smaller get-togethers the most, for example the Sauna evenings at Kiviniemi by
the COM participants.
The tutors should have tried to mix better the group already before the event (e.g. making
everyone introduce himself the first day), and try to involve both students and professors.
Especially the informal get-together after first lecture of CH3 was really good. I would have
enjoyed having a similar one on other courses as well. We gathered up in the lobby next to the
lecture hall and had some snacks as well as soda and board games, a nice informal session
allowing fast socialization with the lecturer and other students. No need to leave the uni for a trip
to the lakeside or anything like that really!
I really liked the get together that was only for the people in my field (on Monday after the lecture
for everyone from MA1, MA2, MA3 and MA4). It was very useful to get in touch with the people
of my own field.
I've made really good friends in my rather short stay at the summer school. It most probably
would have been harder if there weren't Get-Together Evening and other get-togethers organized
by the tutors.
More get-together, informal events (parties, meetings, discussions), not lectures and formal
gatherings. Events would be nice especially at the beginning of every week, as a lot of new people
are coming.
The events were nice, however there was a limited participation from the group. Some events
were overlapping with the social program, which prevented me from participating.
I think the main problem come from the group that was not too eager to take part in the gettogether events because they had other people to meet / did not want to socialize.
You can make contacts and I would say that mixing different course groups in get-together is
useful.
Great way to meet new people, to relax after working and to have fun. Makes the entire stay at
jyväskylä great.
It’s a good experience to meet student from different countries.
It was really nice to see the people in a more informal atmosphere.
It was really nice that the get-together evenings were common for several courses starting on the
same day.
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It was very much useful for me in gaining contacts.
I didn't have time to participate. But I bet it would have been a lot of fun :)
Fun
Comments on the tutoring
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In the courses I attended the tutors did not do anything (at least we did not see them do anything).
If I had something to ask or I would have needed any help, I knew an approachable person that
can help me.
Good at given information and keeping me informed as to what was happening while there.
I had no need for a tutor.
The tutors should have organized collective study sessions and/or other meetings for informal
scientific discussions among the course participants.
Tutoring can be useful when practical arrangements are done in first days, but then its role
declines.
I was a tutor by myself, which was of course a benefit: spending more time with course lecturers
and other students, was really useful.
The tutors were great. There was a limited participation to the get-together events from the group,
I don't know the reason.
I liked the tutoring techniques very useful.
The tutors were very nice.
I didn't really need a tutor.
En tarvinnut tutorointia, koska olen yliopiston opiskelija.
I didn't have to use the tutoring system.
I didn't really understand the purpose of it.
Free commentary
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The courses should have some interactive exercises as well.
The quality of CH1 and CH3 was outstanding. I learnt a lot and I hope that the local lectures will
take up the practices shown by the great lecturers. I'm a happy camper, thanks for this!
I would like to thank to our course coordinator Elina Sievänen. She did a great job to take care of
our courses CH1 and CH2.
Thank you so much for the interesting lectures from Prof. Ian Fleming, and Prof. Juan Miravet. It
was great chance for me to learn many new useful things.
I've attended PH1 course. The lecturers were very good and friendly. The course was organised
well and the materials were uploaded frequently on the webpage.
This experience has taught me many things. We start from the fact that I have known people really
stupendous including fellow university professors and local residents. I am very pleased and
amazed by the selflessness of the Finns in all out. I am happy to have attended this training course,
and I must admit I was able to open my mind to 360 degrees. I am very happy to have shared this
experience with bellissima beautiful people.
The program was totally useful and informative.
I am very grateful to have been able to participate to the courses and social activities for such a
low cost (which made it affordable for me).
In a nutshell I had a very nice time during the summer school. I would definitely like to attend it
again if I find a course, which is useful for my study but not the same, suitable for me. I wish you
all the best for the summer school in the following years.
Overall it was very good, with some things to improve. Please take note of the comments I made
and continue with the great job.
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My only option was to mark emails coming from summer school group-list to be trashed
automatically. There was so much spam. Problem should be solved if you want to use that list
contacting people.
Don't put the reset button next to the submit button in the survey!
And also I am very happy to have visited a beautiful country like Finland, and especially the city
of Jyvaskyla.
I trust and hope in a future experience for next year in Finland! Thank you very much for this
opportunity. See you soon.
I would like to express my appreciation to Summer School organizers, for their help and advises
(They gave us really fast answers!). Thanks for our lecturer and tutors! It was great to be part of
this University (in spite of the fact that only 5 days). Thank you very much. See you!
Appreciating the hardworking of the organizer, thank you so much!!
This summer school was very nice for me!!
Elina -- you did a good job :)
Thank you very much for everything!
Thank you very much for great job!
Thank you very much!
Thanks :)
Cheers!

The 24 Jyväskylä Summer School

Transcription

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